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Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.
MiniMax's general-purpose autonomous AI agent that plans and completes complex multi-step tasks from a single prompt.
No-code visual builder to create, deploy and orchestrate AI agents across 200+ models, for individuals to enterprise.
Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.
Marketplace where AI agents or people post paid real-world task bounties for humans to complete, from errands to store audits.
No public pricing
No public pricing
- ✦LPU custom inference hardware
- ✦GroqCloud tokens-as-a-service API
- ✦High-speed, low-latency inference
- ✦Pay-as-you-go token pricing
- ✦Free API key to start
- ✦Broad open-model support
- ✦Autonomous multi-step task execution
- ✦Natural-language task delegation
- ✦Powered by MiniMax frontier models
- ✦Handles research, building and content tasks
- ✦No-code visual agent builder
- ✦200+ AI models via service router
- ✦100+ prebuilt templates
- ✦Agent skills, plugins and workflows
- ✦AI Media Workbench for video/image
- ✦Enterprise controls (SSO, permissions, self-host)
- ✦Spec-driven development (requirements, design, tasks)
- ✦Parallel agents, local or cloud
- ✦Property-based and correctness testing
- ✦Works in IDE, CLI, web and mobile
- ✦Multiple models (Claude, open-weight, Auto)
- ✦Headless CLI for CI/CD
- ✦Context from tools like Figma and Terraform
- ✦Task/bounty posting with fixed pricing and location
- ✦Direct messaging or applications from verified humans
- ✦Escrow-style payments released on task completion
- ✦MCP and REST API integration for AI agents to hire humans
- ✦Identity verification and ratings/reviews for humans
- ✦Finder's-fee referral system for some bounties
- →Running LLM inference at high speed
- →Cutting inference costs at scale
- →Powering low-latency AI chat apps
- →Serving models via a hosted API
- →Delegating complex tasks to an AI agent
- →Automating research and analysis
- →Producing reports and deliverables
- →Automating business workflows
- →Building custom AI agents without code
- →Content and media generation
- →Deploying agents across a team or org
- →Turning prompts into maintainable, spec-matched code
- →Catching bugs unit tests miss
- →Reviewing PRs and fixing bugs in CI/CD
- →AI agent developers automating real-world task fulfillment
- →Businesses commissioning in-person marketing or street teams
- →Individuals hiring help for errands, deliveries, or pet care
- →Researchers gathering in-person data like store pricing or photos